GEORGE WARREN BROWN SOCIAL OF SOCIAL WORK WASHINGTON UNIVERSITY Ph.D. PROGRAM IN SOCIAL WORK FALL 2010 ADVANCED MULTIVARIATE STATISTICS S90-6901.01 CREDIT HOURS: 3 GRADE: L/G ROOM: Brown 209 TIME: Tues., 1:00 – 3:00 LAB: Tues., 3:15-5:15 pm In Goldfarb 330 TA: Jin Huang TA’S E-MAIL: jhuang22@wustl.edu INSTRUCTOR: David Gillespie OFFICE: Brown 106 OFFICE HOURS: Mon., 9:00 – 11:00 a.m. & by appointment PHONE/VOICE MAIL: 935-6674 E-MAIL: davidg@gwbmail.wustl.edu OR davidfg@fidnet.com TA’S OFFICE: B-05;
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Writing Tips For Economics Research Papers∗ Plamen Nikolov, Harvard University † June 10, 2013 1 General Tips about Writing Style When I read your term papers, I look for your ability to motivate your question using economic logic, your ability to critically analyze the past literature, and your ability to recognize empirical problems as they arise. In particular, it is important that your term paper demonstrates that you are more knowledgeable, analytic, and sophisticated about the
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Faculty of Business and Economics A comparison of two-stage segmentation methods for choice-based conjoint data: a simulation study Marjolein Crabbe, Bradley Jones and Martina Vandebroek DEPARTMENT OF DECISION SCIENCES AND INFORMATION MANAGEMENT (KBI) KBI 1109 A Comparison of Two-Stage Segmentation Methods for Choice-Based Conjoint Data: A Simulation Study Marjolein Crabbe Bradley Jones Martina Vandebroek Abstract Due to the increasing interest in market segmentation in modern marketing
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Writing Tips For Economics Research Papers∗ Plamen Nikolov, Harvard University † June 10, 2013 1 General Tips about Writing Style When I read your term papers, I look for your ability to motivate your question using economic logic, your ability to critically analyze the past literature, and your ability to recognize empirical problems as they arise. In particular, it is important that your term paper demonstrates that you are more knowledgeable, analytic, and sophisticated about the
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Abstract: Purpose – To determine the factors that explain customer satisfaction in the full service restaurant industry. Design/methodology/approach – Secondary research and qualitative interviews were used to build the model of customer satisfaction. A structured questionnaire was employed to gather data and test the model. Sampling involved a random selection of addresses from the telephone book and was supplemented by respondents selected on the basis of judgment sampling. Factor analysis and
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Regression Analysis Definition: Regression is used to examine the relationship between one dependent and one independent variable. After performing an analysis, the regression statistics can be used to predict the dependent variable when the independent variable is known. Regression goes beyond correlation by adding prediction capabilities. Types Of Regression Analysis: Most widely used two types of regression analysis are- I [pic]
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QMM 241 – HW#5 – Multiple Regression 13.21 – Data It is cross-sectional and the unit of observation is a single Noodles restaurant. 13.22 – Data conditioning Yes the X and Y data is well-conditioned. The Y variable will be the Sales/SqFt which we will be able to figure out with a formula containing all the X variables and the variable magnitudes are all similar in all categories. 13.23 – Predicted signs Variable | Sign | Reason | Seats-Inside | Positive | The larger the size of the restaurant
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2 Size 850 1450 1085 1232 718 1485 1136 726 700 956 1100 1285 1985 1369 1175 1225 1245 1259 1150 896 1361 1040 755 1000 1200 Rent 950 1600 1200 1500 950 1700 1650 935 875 1150 1400 1650 2300 1800 1400 1450 1100 1700 1200 1150 1600 1650 1200 800 1750 A real estate company in downtown Miami would like to be able to predict the monthly rental cost for apartments, based on the size of the apartment, as defined by square footage. A sample of 25 apartments in a particular residential neighborhood was
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SIMPLE LINEAR REGRESSION EXAMPLE Butler’s Trucking Company is an independent trucking Company in southern California. A major portion of Butler’s business involves deliveries throughout its local area. To develop better work schedules, the managers want to estimate the total daily travel time for their drivers. Initially the managers believed that the total daily travel time would be closely related to the number of miles traveled in making the daily deliveries. A simple random sample
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